Evidence map›Paper›PMID 42366774›Full record

ArticleJournal of primary care & community health

Determinants of Digital Health Literacy Among Hypertensive Adults: A Community-Based Cross-Sectional Study.

Jing Li, Thitipong Tankumpuan, Aurawamon Sriyuktasuth, Patricia M Davidson

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Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jing LiChangzhou University, Jiangsu, China.
Thitipong TankumpuanMahidol University, Bangkoknoi, Bangkok, Thailand.ORCID 0000-0001-8973-3400
Aurawamon SriyuktasuthMahidol University, Bangkoknoi, Bangkok, Thailand.
Patricia M DavidsonUniversity of New South Wales, Kensington, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDigital health literacy (DHL) is a critical component for the effective self-management and secondary prevention of hypertension. However, the multi-level determinants of DHL in community settings are not yet fully understood. This study aimed to assess the status of DHL and identify its key sociodemographic, psychosocial, and health system determinants among adults with hypertension in China.

methodsA cross-sectional survey was conducted (October 2024-January 2025) across 1 tertiary general hospital and 3 community health service centers in Changzhou, China. Data were collected from 660 hypertensive adults using a structured questionnaire, including the eHealth Literacy Scale (eHEALS), and scales for physician-patient interaction, perceived internet health information quality, and perceived family support. Determinants were analyzed using multivariate logistic regression and a random forest model to rank factor importance.

resultsNearly half of the participants (49.45%) demonstrated low DHL. Multivariate logistic regression indicated that older age (specifically ≥75 years: OR = 13.33, 95% CI = 1.73-99.88), limited internet use (<1 h/day: OR = 2.50, 95% CI = 1.04-5.88), and concerns regarding data privacy (OR = 3.42, 95% CI = 1.01-11.58) were significant predictors of low DHL. Additionally, higher perceived quality of internet health information (OR = 0.72, 95% CI = 0.67-0.78), better physician-patient interaction (OR = 0.92, 95% CI = 0.86-0.99), and greater family support (OR = 0.37, 95% CI = 0.25-0.55) were associated with lower odds of low DHL. The random forest model identified the perceived quality of internet health information as the most influential predictor, followed by age and data privacy.

conclusionDHL levels among individuals with hypertension in the community are suboptimal. These findings highlight the potential importance of a multilevel approach to supporting DHL. Efforts to improve the perceived quality of internet health information and strengthen social support systems may be beneficial, and primary care providers could play an important role in guiding patients' use of digital health resources.

Indexed as

Health LiteracyHypertensionAdultAgedChinaCross-Sectional StudiesDigital HealthDigital MediaFamily SupportFemaleHumansInternetLogistic ModelsMaleMiddle AgedPhysician-Patient Relationsdata privacydigital health literacyfamily supporthealth informationhypertensionprimary caresocial determinants of health

Identifiers

PMID42366774
PMCPMC13507691

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.